PageRank Algorithm

The PageRank algorithm, initially designed for ranking web pages, is a fundamental method for assigning importance scores to nodes within a network based on their connectivity. Current research focuses on extending PageRank's applications beyond web search, including its use in enhancing diffusion models, active learning for graph neural networks, and improving the reliability of large language model searches. These advancements demonstrate PageRank's versatility as a core component in various machine learning tasks, improving efficiency, accuracy, and trustworthiness in diverse applications ranging from image generation to text summarization.